Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890179488> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2890179488 abstract "Forest species identification is critical to scientifically support many environmental, commercial, forensic, archaeological, and paleontological actividades. Therefore, it is very important to develop fast and accurate identification systems. We present a deep CNN for automated forest species identification based on macroscopic images of wood cuts. We first implement and study a modified version of the LeNet convolutional network, which is trained from scratch with a database of macroscopic images of 41 forest species of the Brazilian flora. With this network we achieve a top-1 accuracy of 93.6%. Additionally, we fine-tune the Resnet50 model with pre-trained weights on Imagenet to reach a top-1 accuracy of 98.03%, which improves previous published results of research on the same image database." @default.
- W2890179488 created "2018-09-27" @default.
- W2890179488 creator A5021974284 @default.
- W2890179488 creator A5024085649 @default.
- W2890179488 creator A5083745884 @default.
- W2890179488 creator A5089372156 @default.
- W2890179488 date "2018-07-01" @default.
- W2890179488 modified "2023-10-14" @default.
- W2890179488 title "Using Deep Convolutional Networks for Species Identification of Xylotheque Samples" @default.
- W2890179488 cites W1181899764 @default.
- W2890179488 cites W2011567471 @default.
- W2890179488 cites W2012093028 @default.
- W2890179488 cites W2040638288 @default.
- W2890179488 cites W2051329855 @default.
- W2890179488 cites W2071562807 @default.
- W2890179488 cites W2159666059 @default.
- W2890179488 cites W2163005195 @default.
- W2890179488 cites W2216531272 @default.
- W2890179488 cites W2340165701 @default.
- W2890179488 cites W2470803522 @default.
- W2890179488 cites W2520364485 @default.
- W2890179488 cites W2545361841 @default.
- W2890179488 cites W2616728375 @default.
- W2890179488 cites W2617703913 @default.
- W2890179488 cites W2739201009 @default.
- W2890179488 cites W2743583628 @default.
- W2890179488 cites W2765861484 @default.
- W2890179488 cites W2766843494 @default.
- W2890179488 cites W2963108767 @default.
- W2890179488 cites W2963661548 @default.
- W2890179488 cites W2963801405 @default.
- W2890179488 doi "https://doi.org/10.1109/iwobi.2018.8464216" @default.
- W2890179488 hasPublicationYear "2018" @default.
- W2890179488 type Work @default.
- W2890179488 sameAs 2890179488 @default.
- W2890179488 citedByCount "7" @default.
- W2890179488 countsByYear W28901794882018 @default.
- W2890179488 countsByYear W28901794882019 @default.
- W2890179488 countsByYear W28901794882020 @default.
- W2890179488 countsByYear W28901794882021 @default.
- W2890179488 countsByYear W28901794882022 @default.
- W2890179488 crossrefType "proceedings-article" @default.
- W2890179488 hasAuthorship W2890179488A5021974284 @default.
- W2890179488 hasAuthorship W2890179488A5024085649 @default.
- W2890179488 hasAuthorship W2890179488A5083745884 @default.
- W2890179488 hasAuthorship W2890179488A5089372156 @default.
- W2890179488 hasConcept C116834253 @default.
- W2890179488 hasConcept C153180895 @default.
- W2890179488 hasConcept C154945302 @default.
- W2890179488 hasConcept C18903297 @default.
- W2890179488 hasConcept C2987826769 @default.
- W2890179488 hasConcept C41008148 @default.
- W2890179488 hasConcept C54355233 @default.
- W2890179488 hasConcept C81363708 @default.
- W2890179488 hasConcept C86803240 @default.
- W2890179488 hasConceptScore W2890179488C116834253 @default.
- W2890179488 hasConceptScore W2890179488C153180895 @default.
- W2890179488 hasConceptScore W2890179488C154945302 @default.
- W2890179488 hasConceptScore W2890179488C18903297 @default.
- W2890179488 hasConceptScore W2890179488C2987826769 @default.
- W2890179488 hasConceptScore W2890179488C41008148 @default.
- W2890179488 hasConceptScore W2890179488C54355233 @default.
- W2890179488 hasConceptScore W2890179488C81363708 @default.
- W2890179488 hasConceptScore W2890179488C86803240 @default.
- W2890179488 hasLocation W28901794881 @default.
- W2890179488 hasOpenAccess W2890179488 @default.
- W2890179488 hasPrimaryLocation W28901794881 @default.
- W2890179488 hasRelatedWork W2521062615 @default.
- W2890179488 hasRelatedWork W2735477435 @default.
- W2890179488 hasRelatedWork W2767651786 @default.
- W2890179488 hasRelatedWork W2912288872 @default.
- W2890179488 hasRelatedWork W3016958897 @default.
- W2890179488 hasRelatedWork W3034813777 @default.
- W2890179488 hasRelatedWork W3045739591 @default.
- W2890179488 hasRelatedWork W3181746755 @default.
- W2890179488 hasRelatedWork W4283379348 @default.
- W2890179488 hasRelatedWork W4312417841 @default.
- W2890179488 isParatext "false" @default.
- W2890179488 isRetracted "false" @default.
- W2890179488 magId "2890179488" @default.
- W2890179488 workType "article" @default.